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Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Interview Questions, Process, and Tips

Updated 14 Jul 2024

Top Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Interview Questions and Answers

  • Q1. What are the Different types of Learning?
  • Q2. Name some evaluation metrics? What is precision and recall? Give some examples. What is Entropy and Gini impurity What are bagging techniques What are boosting techniques ...read more
  • Q3. What are Different ML algorithms?
View all 10 questions

16 Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Interview Experiences

34 questions found

Sort by: Popular

I applied via Referral and was interviewed in May 2021.

4 Interview Rounds

Interview Questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Stick to basics and explain projects in details

Skills evaluated in this interview

Interview experience
3
 Average
Difficulty level
 Moderate
Duration
 2-4 weeks
Result
Selected  Selected

I applied via LinkedIn and was interviewed before Jun 2022.

3 Interview Rounds

1

Resume Shortlist Round

Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
2

Technical Round (1 Question)

  • Q1. Logistic regression
3

One-on-one Round (1 Question)

  • Q1. Bias variance tradeoff

Get interview-ready with top interview questions

I was interviewed before May 2021.

1 Interview Round

1

Technical Round (2 Questions)

  • Q1. Asked about transformers
  • Q2. PCA and data science related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be strong with your basics and have knowledge about NLP

Interview Questions

  • Q1. All theoritical ques on ML, python, a bit of sql, guesstimates Add Answer

Quantiphi Analytics Solutions Private Limited interview questions for designations

 Machine Learning Engineer Intern

 (6)

 Senior Machine Learning Engineer

 (4)

 Data Scientist and Machine Learning Engineer

 (4)

 Data Science Engineer

 (1)

 Data Scientist

 (2)

 Data Analyst Intern

 (1)

 Data Engineer

 (11)

 Software Engineer

 (7)

I applied via Naukri.com and was interviewed before Dec 2020.

4 Interview Rounds

Interview Questions

  • Q1. Questions about Machine Learning And deep learning algorithms, pandas, numpy, TF, keras, Cloud servises like GCP, AWS Add Answer

Interview Preparation Tips

Interview preparation tips for other job seekers - Have good knowledge of Theory and GCP.

I applied via campus placement at Dwarkadas J Sanghvi College of Engineering, Mumbai and was interviewed before Apr 2020.

3 Interview Rounds

Interview Questions

Interview Preparation Tips

Interview preparation tips for other job seekers - This interview was a technical one. It started with a project that I mentioned in my resume. I explained it perfectly (obviously, I did it on my own lol). Secondly, the interviewer noticed about the C++ language mentioned in my resume and then asked me about the basic C++ concepts and OOPS part of C++. It lasted for about 15 minutes. Then the interviewer shifted on to the Machine Learning questions. He started with the basic questions like different types of learning and asked about different ML algorithms. You have to study / revise these questions for sure because these are like mandatory questions asked by the interviewer. It stretched for about another 15 minutes and then there was a quick discussion on your past experience if any mentioned in your resume. In my case it was based on the Internship that I pursued in one of the teaching institution. Obviously, you should know the roles and responsibilities during your time at the internship or your past job. It was easy overall (not moderate also). The interviewer was very chilled out and didn't grill me anytime in my interview. Just be prepared and rest will be a cake-walk.

Skills evaluated in this interview

Machine Learning Engineer Jobs at Quantiphi Analytics Solutions Private Limited

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Quantiphi Analytics Solutions Private Limited Interview FAQs

How many rounds are there in Quantiphi Analytics Solutions Private Limited Machine Learning Engineer interview?
Quantiphi Analytics Solutions Private Limited interview process usually has 2-3 rounds. The most common rounds in the Quantiphi Analytics Solutions Private Limited interview process are Technical, Aptitude Test and Resume Shortlist.
How to prepare for Quantiphi Analytics Solutions Private Limited Machine Learning Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Quantiphi Analytics Solutions Private Limited. The most common topics and skills that interviewers at Quantiphi Analytics Solutions Private Limited expect are Machine Learning, Python, Computer Vision, Agile and Coding.
What are the top questions asked in Quantiphi Analytics Solutions Private Limited Machine Learning Engineer interview?

Some of the top questions asked at the Quantiphi Analytics Solutions Private Limited Machine Learning Engineer interview -

  1. What are the Different types of Learni...read more
  2. Name some evaluation metrics? What is precision and recall? Give some examples....read more
  3. What are Different ML algorith...read more

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Interview Process at Quantiphi Analytics Solutions Private Limited Machine Learning Engineer

based on 6 interviews in last 1 year

1 Interview rounds

  • Aptitude Test Round
View more

People are getting interviews through

based on 12 Quantiphi Analytics Solutions Private Limited interviews
Campus Placement
Job Portal
Referral
58%
33%
8%
1% candidates got the interview through other sources.
High Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.

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At par with the average Machine Learning Engineer Salary in India
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Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Reviews and Ratings

based on 55 reviews

3.2/5

Rating in categories

3.6

Skill development

2.9

Work-Life balance

3.2

Salary & Benefits

2.8

Job Security

3.1

Company culture

3.0

Promotions/Appraisal

3.0

Work Satisfaction

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